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Causal Inference Python Implementation

Towards AI

FEBRUARY 18, 2024

Photo by SHVETS production from Pexels As per the routine I follow every time, here I am with the Python implementation of Causal Impact. This historical sales data covers sales information from 2010–02–05 to 2012–11–01. Author(s): Akanksha Anand (Ak) Originally published on Towards AI.

Python

Python Data Preparation Algorithm AI

The NLP Cypher | 02.14.21

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Their infrastructure is built on top of FastAPI and supports Python, Go and Ruby languages. Follow their code on GitHub. Connected Papers

Natural Language Processing

Natural Language Processing Azure Python Artificial Intelligence

Share medical image research on Amazon SageMaker Studio Lab for free

Flipboard

FEBRUARY 7, 2023

With these installation steps, you have successfully installed the medical-image-ai Python kernel and the ImJoy extension as the prerequisite to run the TCIA notebooks together with itkWidgets on Studio Lab. Make sure to choose the medical-image-ai Python kernel when running the TCIA notebooks in Studio Lab.

AWS

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control

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Unpacking and Utilizing Vertex with Google Earth Engine for Machine Learning.

Towards AI

MAY 8, 2024

Established by Google in 2010, it possesses a vast assortment of geospatial data containing of petabytes of data collected by multiple satellites, such as Sentinel, MODIS, Landsat, and more for analysis. What is Google Earth Engine?

Machine Learning

Machine Learning Machine Learning ML ML

Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

AWS

AWS ML ML Algorithm

A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

AWS

AWS ML ML Clustering

The NLP Cypher | 02.14.21

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Their infrastructure is built on top of FastAPI and supports Python, Go and Ruby languages. Follow their code on GitHub. Connected Papers

Natural Language Processing

Natural Language Processing Azure Python Artificial Intelligence

Pedals and Probabilities: A Practical Guide to Understanding Probability (Part 1)

Mlearning.ai

JULY 20, 2023

In the intricate world of machine learning algorithms, probability serves as the foundational pillar. To truly decipher the mechanisms and theories of these algorithms, it’s essential to have a firm understanding of probability fundamentals. Generates a bar chart depicting the count of rainy days in June from 2010 to 2022. .

Python

Python Algorithm Machine Learning Machine Learning

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. He currently is working on Generative AI for data integration.

Database

Database AWS ETL SQL

Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

JANUARY 31, 2023

In particular, my code is based on rospy, which, as you might guess, is a python package allowing you to write code to interact with ROS. Control algorithm. To this end, the filter also provides a second orientation, computed with a gradient descent algorithm applied to accelerometer data. The formula of the SHOE detector.

Clustering

Clustering Algorithm Machine Learning Machine Learning

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. We use the following Python script to recreate tables as pandas DataFrames.

SQL

SQL AWS Analytics Analytics

Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 26, 2024

We add the following to the end of the prompt: provide the response in json format with the key as “class” and the value as the class of the document We get the following response: { "class": "ID" } You can now read the JSON response using a library of your choice, such as the Python JSON library. The following image is of a gearbox.

ML

ML ML AI AI

Data Science Current

Causal Inference Python Implementation

The NLP Cypher | 02.14.21

Webinars

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Share medical image research on Amazon SageMaker Studio Lab for free

Webinars

Unpacking and Utilizing Vertex with Google Earth Engine for Machine Learning.

Reinventing a cloud-native federated learning architecture on AWS

A review of purpose-built accelerators for financial services

The NLP Cypher | 02.14.21

Pedals and Probabilities: A Practical Guide to Understanding Probability (Part 1)

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Intuitive robotic manipulator control with a Myo armband

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock

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